Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders

Skyler S. Place; Danielle Blanch-Hartigan; Channah Rubin; Cristina Gorrostieta; Caroline Mead; John M. Kane; Brian P. Marx; Joshua Feast; Thilo Deckersbach; Alex Pentland; Andrew A. Nierenberg; Ali Azarbayejani

doi:https://doi.org/10.2196/jmir.6678

doi.org/10.2196/jmir.6678

Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders

Skyler S. Place

9

,

Danielle Blanch-Hartigan

23

,

..., Ali Azarbayejani

11

Journal of Medical Internet Research7.40

Volume: 19, Issue: 3, Pages: e75 - e75

Published: Mar 16, 2017

Abstract

Background: There is a critical need for real-time tracking of behavioral indicators of mental disorders. Mobile sensing platforms that objectively and noninvasively collect, store, and analyze behavioral indicators have not yet been clinically validated or...

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Paper Details

Title

Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders

DOI

doi.org/10.2196/jmir.6678

Published Date

Mar 16, 2017

Journal

Journal of Medical Internet Research

Volume

19

Issue

3

Pages

e75 - e75

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